Artificial Intelligence (AI) has gained immense importance in our daily lives, as we progress further into the 21st century. AI is transforming the way we interact with technology, from virtual assistants on our smartphones to chatbots on customer service websites.
Two notable chatbots that have been developed to offer users natural language responses are Google’s Bard and OpenAI’s ChatGPT. These chatbots have the potential to revolutionize the way we search for information and communicate with machines, providing users with an interactive experience that simulates a conversation rather than a search engine.
In recent years, the rise of AI has led to significant advancements in natural language processing and understanding. Chatbots like Bard and ChatGPT have taken it a step further by providing articulate responses to complex questions across various knowledge domains. With the potential to offer a more personalized and efficient search experience, these chatbots are leading the race in the AI space.
Despite their similarities, there are notable differences in the capabilities of Bard and ChatGPT. ChatGPT is based on OpenAI’s GPT-3.5 and GPT-4 families of large language models and has been calibrated using both supervised and reinforcement learning techniques. In contrast, Bard is built on top of Google’s LaMDA family of large language models.
This article aims to conduct a comparative analysis of ChatGPT and Google Bard, examining their respective strengths and weaknesses in various scenarios and situations. Through this analysis, we intend to provide insights into the potential of these chatbots to transform the way we interact with technology.
The technology used in ChatGPT and Bard AI
ChatGPT and Google Bard are both AI systems, but they use different technologies.
ChatGPT uses GPT technology, which is pre-trained on a large dataset and then fine-tuned to generate responses to user queries. It has 175 billion parameters learned from sources like articles, books, and websites.
In contrast, Google Bard uses LaMDA technology, which is a language model for dialogue applications. LaMDA is trained in conversations and human dialog, and its goal is to provide conversational responses to queries.
The Shakespeare amongst AIs – Creative writing
In creative writing, ChatGPT has a more natural and eloquent way of expressing ideas, making its output more pleasant to read. ChatGPT’s responses tend to be more diverse, detailed, and imaginative, making it better at generating original and captivating content.
In contrast, Google Bard’s responses tend to be more robotic and cautionary, which can limit its ability to come up with unique and engaging ideas.
Moreover, ChatGPT is better at following the instructions given in the prompt, providing more detailed and relevant responses. While Google Bard can give tips and explain concepts, its responses may lack originality, and its information may sometimes be inaccurate or biased.
ChatGPT’s ability to generate creative ideas is not solely based on its training data, but also on its ability to understand the user’s context and intent, and leverage its knowledge and skills to provide the most helpful and engaging response.
Therefore, we can conclude that ChatGPT is superior to Google Bard in creative writing due to its ability to generate diverse, imaginative, and detailed responses that are more natural and pleasant to read. Its ability to understand the user’s intent and context and provide more relevant and personalized responses also makes it a more effective tool for creative writing.
Make it short AI – Summarization
When it comes to summarizing content, ChatGPT, and Google Bard have different approaches and capabilities.
ChatGPT can provide detailed and concise summaries in various formats, such as bullet points, paragraphs, or sentences, based on the given text and instruction in the prompt. ChatGPT is also skilled in summarizing texts from various domains and genres, but it may also produce inaccurate or irrelevant summaries.
Meanwhile, Google Bard collaborates with generative AI to summarize texts in a natural and informative way. It can help users outline blog posts, explain concepts, or give tips based on a given text. Google Bard provides multiple drafts of its summary, allowing users to choose the best one for them. It can also handle follow-up questions or try again to improve the quality of the summary.
In terms of summarization ability, both chatbots have strengths and weaknesses. ChatGPT may be more flexible and versatile in generating summaries in different formats and styles, but it may also be more error-prone and unreliable. Google Bard may be more consistent and trustworthy in providing summaries that are informative and coherent, but it may also be more cautious and less creative.
Ultimately, the choice between ChatGPT and Google Bard for summarizing content may depend on the user’s preference and needs. ChatGPT may be better suited for those who require quick and concise summaries, while Google Bard may be more helpful for those who require more detailed and informative summaries.
Fact-check AI – Accuracy of information
The primary difference between ChatGPT and Google Bard is the accuracy of their responses. Google Bard is considered more accurate because it can retrieve real-time information from the internet, while ChatGPT’s knowledge base is trained up to 2021, limiting its accuracy oncurrent events and news.
Google Bard employs a technology called LaMDA, which is designed to understand natural language queries and generate responses based on information found via Google searches. This means that Google Bard can access up-to-date information and provide accurate answers to queries about current events, news, and other topics.
On the other hand, ChatGPT’s knowledge cutoff is in 2021, and it relies on pre-existing knowledge to generate responses. This means that ChatGPT may provide outdated or inaccurate information for current events or topics that have emerged after 2021.
In summary, while both ChatGPT and Google Bard are impressive language models, Google Bard is considered more accurate due to its ability to retrieve real-time information and provide direct links to sources. Therefore, if you’re looking for up-to-date and reliable information on current events, news, or other topics, Google Bard is the better choice.
Who is good at Math
When it comes to mathematics, both Google Bard and ChatGPT have limitations. While they can perform basic computational tasks, they struggle with more complex problems. ChatGPT has made significant improvements in its ability to solve the common mathematics problems. However, it still lacks the ability to handle more challenging puzzles and calculations that involve large numbers or non-standard formulas.
Google Bard, on the other hand, has been found to perform poorly in mathematical calculations. In tests, it was outperformed by ChatGPT in solving simple problems such as finding the percentage increase of a number or multiplying and dividing large numbers. In more complex calculations, such as determining mortgage repayments, none of the chatbots provided the correct answer.
The limitations of these chatbots in mathematics can be attributed to their training data. While they have been trained on vast amounts of text, they lack hard-coded rules for mathematical calculations. This means that when faced with unusual sums or formulas, they often get things wrong.
Providing citation for information
When it comes to citing sources, it’s important to use a reliable tool that can produce accurate and appropriate citations. While both ChatGPT and Bard can provide citations, they each have their strengths and weaknesses.
ChatGPT is a large language model that reproduces patterns in texts it was trained on. It can provide citations, but it’s important to note that it can only use sources from its training data which went up to 2021. ChatGPT tends to struggle when asked to provide specific citations, as the information may be formatted incorrectly or contain wrong information. Additionally, ChatGPT may provide sources that don’t exist, making it difficult for researchers to verify information.
Google Bard also an AI tool designed which can support academic research and writing. It offers a wide range of citation styles and can generate appropriate citations for a variety of sources. Nevertheless, similar to ChatGPT, Bard may sometimes fail to provide citations or present irrelevant sources, which can be an inconvenience for researchers who depend on precise and reliable information.
Plagiarism
A recent study has found that using AI-based writing tools such as ChatGPT and Bard could potentially lead to unintentional plagiarism. The research, conducted by Penn State University, identified three forms of plagiarism that AI language models can resort to, including verbatim copying, paraphrasing without proper citation, and using the main idea from a text without attribution.
The study found that the larger the dataset and parameters used to train the language models, the more often plagiarism occurred. The scientists also noted that while fine-tuning reduced verbatim plagiarism, it increased instances of paraphrase and idea plagiarism.
While AI tools like ChatGPT and Bard may produce appealing and productive content, ethical and copyright issues need to be addressed. AI-generated content may infringe upon intellectual property rights and propagate harmful prejudices and biases. AI models are trained on existing data, making it possible for them to replicate existing biases and stereotypes in their output.
Conclusion
The emergence of chatbots like ChatGPT and Google Bard signifies the ongoing AI revolution that is transforming our world. These chatbots are not just tools for communication, but also for creativity, learning, and problem-solving.
They showcase the power of natural language processing, enabling machines to understand and generate human-like language.
In addition to chatbots, many other types of AI are being developed for various functions and domains. Computer vision enables machines to recognize and analyze images and videos.
Machine learning enables machines to learn from data and improve their performance. Natural language generation allows machines to produce original and coherent texts.
The AI revolution is bringing forth the AI age, a new era in which humans and machines will collaborate and coexist. This age will create numerous opportunities and challenges for society, economy, culture, and ethics.
It will require humans to adapt and thrive by developing new skills and mindsets. The AI age is not a distant future but a present reality that we need to embrace and shape.
